FLUX.1 Depth is a state-of-the-art AI image generation tool that uses depth maps to control and maintain structural integrity in image creation and modification. Released by Black Forest Labs in November 2024, it's part of the FLUX.1 Tools suite and runs on a 12-billion parameter rectified flow transformer, allowing users to generate or modify images while precisely preserving their structural elements.
What sets FLUX.1 Depth apart is its ability to solve a critical problem in AI image generation: maintaining consistent structure and depth during image transformation. Unlike traditional AI models that often distort or ignore spatial relationships, FLUX.1 Depth uses advanced depth mapping to ensure that generated images maintain their intended structural composition while following text prompts for creative changes.
Through MimicPC, a cloud-based AI platform, FLUX.1 Depth has become accessible to everyone through ready-to-use Flux.1 Depth workflow template. No specialized hardware, software downloads, or complex setup required – just click and create. This guide will walk you through leveraging the pre-built workflow for your creative projects, from architectural visualizations to character designs and complex scene compositions, while exploring the technical capabilities and practical applications that make FLUX.1 Depth a game-changer in AI image generation.
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What is FLUX.1 Depth?
FLUX.1 Depth is a groundbreaking AI model that uses depth maps for structural conditioning in image generation, powered by a sophisticated 12-billion parameter rectified flow transformer. It analyzes and maintains the spatial relationships within images through depth information, enabling precise control over structural elements while allowing creative modifications. As a key component of the FLUX.1 Tools suite, it works alongside other tools like FLUX.1 Fill, Canny, and Redux to provide comprehensive image generation and editing capabilities.
How ControlNet Depth Works
Depth maps serve as the foundation of FLUX.1 Depth's structural control system. These maps act as three-dimensional guides, providing crucial information about spatial relationships within an image. When generating or modifying images, FLUX.1 Depth uses these depth maps to:
- Understand the spatial layout of scenes
- Maintain proper object positioning and relationships
- Ensure consistent perspective and scale
- Guide the generation process while preserving structural integrity
Key Features and Benefits
- Cutting-edge output quality that surpasses traditional AI image generation models, delivering professional-grade results with exceptional detail and consistency
- Advanced structural preservation through depth map, maintaining precise spatial relationships, and ensuring accurate perspective and scale in transformations
- Superior prompt adherence capabilities while maintaining the structural integrity of source images based on depth maps
- Efficient performance through guidance distillation, resulting in faster generation times and reduced computational requirements
These features combine to make FLUX.1 Depth a powerful tool for creators, researchers, and professionals who need precise control over AI-generated images while maintaining high quality and structural accuracy in their output.
How to Use FLUX.1 Depth
Follow these simple steps to start creating with FLUX.1 Depth through MimicPC's ready-to-use workflow:
1. Access the Workflow
Visit MimicPC's ready-to-use FLUX.1 Depth workflow template. For optimal performance, we recommend selecting Large-Pro or higher hardware configurations. If you're working with a limited budget, you can still access the workflow through the Bargin access options.
2. Upload Your Image
Once in the workflow interface, locate the Load Image Node and input image that you want to transform. This will serve as the base for your depth-guided transformation.
3. Enter Your Prompt
In the designated prompt field, enter your text instructions to guide the transformation. Be specific about the style or content changes you want while keeping structural elements in mind.
4. Depth Map Generation
After clicking "Queue", the workflow automatically processes your image and generates a depth map to capture the structural information. This happens automatically with no manual intervention required, as the system analyzes all spatial relationships in your image.
5. Generate and Review
The system will create your new image while preserving the structural integrity captured in the depth map. Review your output and adjust your prompt if needed for different results.
Use Cases and Example Prompts
E-Commerce Product Photography
Example Prompt: "a premium artisanal coffee mug with matte black ceramic base and copper metallic gradient finish, featuring delicate hand-painted geometric patterns and a modern minimalist logo. Place it on a rustic reclaimed wood surface with scattered premium coffee beans, soft morning light streaming from the left creating gentle shadows, steam rising artistically from the mug containing dark roast coffee, a cinnamon stick and star anise as props, shallow depth of field focusing on the mug's texture, and a subtle bokeh effect in the background with warm café interior lights, maintaining exact mug proportions and form"
Interior Design and Architecture
Example Prompt: "an opulent traditional Japanese temple interior with hand-painted golden cloud murals, dark wood beam ceiling structures, tatami mat flooring, low ceremonial tables, meditation cushions in rich burgundy silk, hanging paper lanterns casting warm light, potted bonsai trees in carved stone planters, and sliding shoji screens with mountain motifs, while maintaining the exact room dimensions and window placements"
Fashion and Outfits Transformation
Example Prompt: "a modern qipao-inspired gown in emerald green silk with gold phoenix embroidery, featuring high neck, cap sleeves, and side slit. Style with structured updo adorned with jade hair pins, statement gold earrings, and coordinating emerald pumps. Keep natural stance while adding subtle angle to highlight dress details"
Environmental Design/Urban Architecture
Example Prompt: "a sun-drenched Mediterranean plaza with weathered limestone pathways, terracotta-tiled fountains featuring mosaic details, mature olive trees casting dappled shadows, wrought iron pergolas draped with flowering bougainvillea, handcrafted ceramic benches in azure and ochre tones, traditional stone archways with climbing jasmine, and warm-toned stucco walls with ornate architectural details, maintaining the original plaza layout and spatial arrangement"
Character Design
Example Prompt: "a celestial being with crystalline armor made of aurora borealis light, flowing cosmic fabric that shows moving galaxies and nebulae, a crown of constellation lights, ethereal wings made of pure starlight, floating orbital rings with ancient symbols, radiating cosmic energy waves, and a staff made of compressed starlight, while preserving exact body proportions and pose structure"
Anime Art Style Transformations
Example Prompt: "classic 90s anime style with sharp angular features, dramatic lighting, bold line work, and high contrast shadows. Feature pointed chin, longer face proportions, smaller eyes with detailed highlights, and characteristic speed lines. Include signature tall and slim body proportions, detailed hair shading, and bold color choices typical of the era"
Flux.1 Canny VS. Flux.1 Depth
In our comparative analysis, we evaluate Flux.1 Canny and Flux.1 Depth by applying both models to identical source images with consistent prompts.
Flux.1 Canny
Flux.1 Canny employs sophisticated canny edge detection techniques to define boundaries with precision. Through its advanced processing, it meticulously preserves structural elements and contours, ensuring no critical details are lost. The system excels in creating precise line-based representations that capture the essence of the original image. Its strength lies in maintaining detailed outlines while effectively handling intricate patterns and textures with remarkable accuracy. What sets it apart is its ability to maintain consistent edge quality across the entire image, regardless of depth variations or complexity.
Flux.1 Depth
The Flux.1 Depth processing system takes a fundamentally different approach by emphasizing spatial relationships and volumetric understanding. It excels at creating a robust three-dimensional interpretation of the scene, representing distance through carefully calculated tonal gradients. The system particularly shines in showing form and spatial separation, making it invaluable for understanding dimensional relationships. While it excels at conveying depth and dimensionality, it may intentionally simplify some fine details to better emphasize form and spatial structure.
Key Differences in Image Processing:
Detail Handling:
- Canny models maintain fine details through edge detection, preserving intricate patterns and textures
- Depth models tend to simplify details while emphasizing spatial relationships and form
Spatial Representation:
- Canny focuses on 2D structural elements and clear boundaries
- Depth prioritizes 3D relationships and volume representation
Background Treatment:
- Canny defines background elements through clear edge lines
- Depth creates smoother transitions and better spatial separation
Aspect | Canny | Depth |
Detail Preservation | High (edge-based) | Moderate (form-based) |
Spatial Understanding | Limited | Excellent |
Edge Definition | Sharp and precise | Gradient-based |
Texture Handling | Detailed patterns | Simplified forms |
Depth Representation | Limited | Strong |
Fine Detail | Preserved | Often simplified |
Background Integration | Line-based | Spatial separation |
Form Understanding | Structural | Volumetric |
Conclusion: The Power of Flux.1 Depth
Flux.1 Depth represents a significant advancement in image editing technology through its innovative depth map conditioning, offering capabilities that go beyond existing tools in the market. By analyzing structural depth information and spatial relationships, its sophisticated approach to dimensional mapping makes it an invaluable addition to the suite of flux tools available today. While traditional image variation methods often struggle with depth perception, Flux.1 Depth excels in translating depth maps into natural, volumetric representations that enhance the overall visual experience.
The system's ability to interpret depth maps and handle flexible aspect ratios while maintaining spatial integrity sets it apart from conventional image editing solutions. Through structure conditioning, it bridges the gap between 2D and 3D representation, making it particularly valuable for artists, designers, and content creators who need precise control over spatial elements in their work.
Ready to Transform Your Images with Depth Maps?
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